ChiSquareGoodnessOfFitTest Class

Represents a test that a sample comes from a specified distribution.

For a list of all members of this type, see ChiSquareGoodnessOfFitTest Members.

System.Object
   HypothesisTest
      OneSampleTest
         ChiSquareGoodnessOfFitTest

[Visual Basic]
NotInheritable Public Class ChiSquareGoodnessOfFitTest

Inherits OneSampleTest

[C#]

public sealed class ChiSquareGoodnessOfFitTest : OneSampleTest

Remarks

Use the ChiSquareGoodnessOfFitTest class to test whether a sample comes from a specific distribution.

The sample can be supplied as either a NumericalVariable or a Histogram.

The distribution can be specified as a probability distribution (a class that inherits from Distribution) or a Histogram. The distribution can be discrete or continuous.

If the sample and distribution are both supplied as a Histogram, the boundaries must be identical.

A chi-square test uses binned data. A drawback is that the results of the test depend on how the data is binned. The test also needs a suffient sample size for the chi-square approximation to be valid.

The AndersonDarlingTest and OneSampleKolmogorovSmirnovTest tests are alternatives to the chi-square goodness-of-fit test, but they are valid only for continuous distributions.

Requirements

Namespace: Extreme.Statistics.Tests

Assembly: Extreme.Statistics (in Extreme.Statistics.dll)

ChiSquareGoodnessOfFitTest Class

Remarks

Requirements

See Also